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tflite.BidirectionalSequenceRNNOptions module

# automatically generated by the FlatBuffers compiler, do not modify

# namespace: tflite

import flatbuffers

class BidirectionalSequenceRNNOptions(object):
    __slots__ = ['_tab']

    @classmethod
    def GetRootAsBidirectionalSequenceRNNOptions(cls, buf, offset):
        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
        x = BidirectionalSequenceRNNOptions()
        x.Init(buf, n + offset)
        return x

    # BidirectionalSequenceRNNOptions
    def Init(self, buf, pos):
        self._tab = flatbuffers.table.Table(buf, pos)

    # BidirectionalSequenceRNNOptions
    def TimeMajor(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # BidirectionalSequenceRNNOptions
    def FusedActivationFunction(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
        return 0

    # BidirectionalSequenceRNNOptions
    def MergeOutputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # BidirectionalSequenceRNNOptions
    def AsymmetricQuantizeInputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

def BidirectionalSequenceRNNOptionsStart(builder): builder.StartObject(4)
def BidirectionalSequenceRNNOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(0, timeMajor, 0)
def BidirectionalSequenceRNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(1, fusedActivationFunction, 0)
def BidirectionalSequenceRNNOptionsAddMergeOutputs(builder, mergeOutputs): builder.PrependBoolSlot(2, mergeOutputs, 0)
def BidirectionalSequenceRNNOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(3, asymmetricQuantizeInputs, 0)
def BidirectionalSequenceRNNOptionsEnd(builder): return builder.EndObject()

Functions

def BidirectionalSequenceRNNOptionsAddAsymmetricQuantizeInputs(

builder, asymmetricQuantizeInputs)

def BidirectionalSequenceRNNOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(3, asymmetricQuantizeInputs, 0)

def BidirectionalSequenceRNNOptionsAddFusedActivationFunction(

builder, fusedActivationFunction)

def BidirectionalSequenceRNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(1, fusedActivationFunction, 0)

def BidirectionalSequenceRNNOptionsAddMergeOutputs(

builder, mergeOutputs)

def BidirectionalSequenceRNNOptionsAddMergeOutputs(builder, mergeOutputs): builder.PrependBoolSlot(2, mergeOutputs, 0)

def BidirectionalSequenceRNNOptionsAddTimeMajor(

builder, timeMajor)

def BidirectionalSequenceRNNOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(0, timeMajor, 0)

def BidirectionalSequenceRNNOptionsEnd(

builder)

def BidirectionalSequenceRNNOptionsEnd(builder): return builder.EndObject()

def BidirectionalSequenceRNNOptionsStart(

builder)

def BidirectionalSequenceRNNOptionsStart(builder): builder.StartObject(4)

Classes

class BidirectionalSequenceRNNOptions

class BidirectionalSequenceRNNOptions(object):
    __slots__ = ['_tab']

    @classmethod
    def GetRootAsBidirectionalSequenceRNNOptions(cls, buf, offset):
        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
        x = BidirectionalSequenceRNNOptions()
        x.Init(buf, n + offset)
        return x

    # BidirectionalSequenceRNNOptions
    def Init(self, buf, pos):
        self._tab = flatbuffers.table.Table(buf, pos)

    # BidirectionalSequenceRNNOptions
    def TimeMajor(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # BidirectionalSequenceRNNOptions
    def FusedActivationFunction(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
        if o != 0:
            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
        return 0

    # BidirectionalSequenceRNNOptions
    def MergeOutputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

    # BidirectionalSequenceRNNOptions
    def AsymmetricQuantizeInputs(self):
        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
        if o != 0:
            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
        return False

Ancestors (in MRO)

Static methods

def AsymmetricQuantizeInputs(

self)

def AsymmetricQuantizeInputs(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
    if o != 0:
        return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
    return False

def FusedActivationFunction(

self)

def FusedActivationFunction(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
    if o != 0:
        return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
    return 0

def Init(

self, buf, pos)

def Init(self, buf, pos):
    self._tab = flatbuffers.table.Table(buf, pos)

def MergeOutputs(

self)

def MergeOutputs(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
    if o != 0:
        return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
    return False

def TimeMajor(

self)

def TimeMajor(self):
    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
    if o != 0:
        return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
    return False

Methods

def GetRootAsBidirectionalSequenceRNNOptions(

cls, buf, offset)

@classmethod
def GetRootAsBidirectionalSequenceRNNOptions(cls, buf, offset):
    n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
    x = BidirectionalSequenceRNNOptions()
    x.Init(buf, n + offset)
    return x